Role Overview

We are seeking a highly experienced AI Technical Lead / Architect with deep expertise in Artificial Intelligence, Generative AI, and Agentic AI systems. This role requires strong hands-on technical mastery combined with strategic leadership capability.

The ideal candidate will architect and lead the development of scalable, production-grade AI platforms leveraging LLMs, RAG systems, autonomous agents, and modern AI infrastructure. This is a high-impact role requiring both advanced AI knowledge and strong engineering leadership.

Key Responsibilities

AI & System Architecture

Design and architect enterprise-grade GenAI and Agentic AI systems
Build scalable LLM-powered applications, RAG pipelines, multi-agent systems, and autonomous workflows
Drive secure, reliable, and high-performance AI solution design

Agentic AI & Advanced GenAI

Architect and implement agent orchestration frameworks
Design multi-agent collaboration systems and autonomous task execution pipelines
Implement advanced prompt engineering, memory management, and reasoning chains
Develop evaluation frameworks for LLM quality, hallucination mitigation, and model alignment

Technical Leadership

Lead end-to-end AI solution development from concept to production
Mentor engineers and establish strong AI engineering practices
Drive code quality, architectural reviews, and DevOps/MLOps best practices
Own technical roadmap and innovation strategy for AI initiatives

AI Infrastructure & MLOps

Build scalable model deployment pipelines (CI/CD for AI)
Optimize inference performance, latency, and cost
Implement monitoring, observability, and governance for AI systems
Ensure responsible AI practices, security, compliance, and data privacy

Stakeholder Collaboration

Translate business problems into AI-driven technical solutions
Partner with product, engineering, and leadership teams
Provide technical thought leadership internally and externally

Required Technical Expertise

Core AI & GenAI

Strong hands-on experience with:
- LLMs (OpenAI, Anthropic, open-source models like LLaMA, Mistral)
- RAG architectures
- LangChain / LlamaIndex
- Vector databases (Pinecone, Weaviate, FAISS, Milvus)
Experience building production-grade AI agents
Advanced prompt engineering & fine-tuning techniques
Experience with embeddings, evaluation frameworks, and guardrails b

Engineering & Architecture

Strong expertise in Python and AI/ML ecosystem (PyTorch, TensorFlow, Hugging Face)
Experience designing distributed, scalable microservices architectures
Strong API design and backend system development skills
Experience with data pipelines and real-time processing systems

Cloud & Infrastructure

Hands-on experience with Azure / AWS / GCP
Experience with containerization (Docker), orchestration (Kubernetes)
Experience deploying AI workloads on cloud-native environments
Understanding of GPU infrastructure and scaling strategies

MLOps & DevOps

CI/CD for AI systems
Model monitoring, drift detection, observability tools

Leadership & Soft Skills

Proven experience leading AI engineering teams
Strong solution architecture and system design capability
Excellent problem-solving and critical thinking skills
Strong communication and stakeholder management abilities
Ability to balance innovation with production stability

Preferred Qualifications

Experience building enterprise AI platforms
Experience in AI governance and Responsible AI frameworks
Exposure to multi-modal AI systems (vision + text)
Experience with AI security and model risk mitigation

Technical Lead/Architect (Gen AI)